Tencent Technology (shenzhen) Company Limited

Jixing Industrial (shenzhen) Co., Ltd

China Academy of Telecommunications Technology

Peking University

Beijing University of Posts and Telecommunications

Academy of Military Medical Sciences

China Mobile Communications Corporation

Jixing Industry (shenzhen) Technology Co., Ltd.

Tencent Technology Company Limited

Tingting Liu

Juhong Wang

Jie Jiang

Yue Ming

Yanxiong Lu

Huaijun Liu

Zukang Shen

Yanan Lin

Shan Gao

Jiaxin Li

Lin Kang

Lina Dong

Lei Zou

Jinglin Wang

Wenwen Xin

Ruizhe Huang

Jun Zhao

Xueming Pan

Zhuo Chen

Wei Chen

Xiaodong Xu

Nan Hu

Cong Yao

Qiuxiang Li

Xiang Bai

Baoguang Shi

Pengyuan Lv

Kang Liu

Wenli Qin

Liheng Xu

Combination circular dining table and chairs

A rapid detection method for abrin toxin is provided. The rapid detection method for abrin toxin includes the following steps: reacting an oligonucleotide chain substrate labeled with a fluorescent group and a quenching group, a buffer solution, a BSA solution, a to-be-detected sample and sterile water, incubating at a constant temperature, detecting a fluorescence signal value, and determining whether the abrin toxin exists based on a difference between a change in final fluorescence signal value and a change in final fluorescence signal value of a negative control; where the sample is judged as a positive sample when an average value of the detected final fluorescence signal values is greater than an average value of the final fluorescence signal values of the negative control by +3 times standard deviation. According to the detection method, the direct addition of the sample into the reaction system can reach the sensitivity of 30 ng/mL.

Rapid detection method for abrin toxin

A rapid detection method for ricin toxin is provided. The rapid detection method for ricin toxin comprises reacting an adenine-containing oligonucleotide chain substrate labeled with a fluorescent group and a quenching group, a buffer solution, a BSA solution, a to-be-detected sample and sterile water, incubating at a constant temperature, detecting a fluorescence signal value, and determining whether the ricin toxin exists based on a difference between an average value of final fluorescence signal values and an average value of final fluorescence signal values of a negative control; wherein the sample is judged as a positive sample when the average value of the detected final fluorescence signal values is greater than the average value of the final fluorescence signal values of the negative control by +3 times standard deviation.

Rapid detection method for ricin toxin

Round table

Dining chair

Artificial tree with light

Loveseat

Side table

Accent chair

Shelf

Natural language question answering method and apparatus in the field of information retrieval and processing are provided. The method includes: acquiring a natural language question N; converting the natural language question N into a query semantic graph Q, each edge in the query semantic graph Qrepresenting one semantic relation in the natural language question N; searching an RDF graph G for a subgraph matching the query semantic graph Q; and obtaining an answer to the natural language question N according to the subgraph.

Natural language question answering method and apparatus

The disclosure provides a mobility management method and device. The mobility management method includes: obtaining a frequency specific minimum receiving level value Qrxlevmin of each neighbor cell of a serving cell, a pre-configured Cell specific minimum receiving level value Qrxlevmin-offset of each neighbor cell, and a signal level value of each neighbor cell; calculating a sum value of the frequency specific minimum receiving level value Qrxlevmin and the Cell specific minimum receiving level value Qrxlevmin-offset of any neighbor cell; and taking a cell with a signal level value larger than the sum value of the frequency specific minimum receiving level value Qrxlevmin and the Cell specific minimum receiving level value Qrxlevmin-offset as a candidate target cell.

Mobility management method and device

Embodiments of this disclosure belong to the field of computer technologies and disclose a method and an apparatus for recognizing a character string in an image. The method includes: according to image data of a pre-stored sample image block including a character string, and based on a convolutional neural network algorithm, constructing an expression of a probability set corresponding to a character string recognition result of the sample image block, the expression of the probability set being constituted by a to-be-determined parameter; based on a training target of maximizing a probability that the character string recognition result determined according to the probability set is the character string included in the pre-stored sample image block, training the plurality of to-be-determined parameters to obtain a training value for each to-be-determined parameter; and when a to-be-recognized target image block is obtained, determining, based on the convolutional neural network algorithm and the training values of the plurality of to-be-determined parameters, a target probability set corresponding to the target image block, and determining, according to the target probability set, a character string recognition result of the target image block. By means of the embodiments of this disclosure, correctness of recognizing a character string can be improved.

Method and apparatus for recognizing character string in image

A hand motion identification method includes: obtaining a to-be-identified video; performing area-locating and tracking of a hand for the to-be-identified video, and extracting a red-green-blue (RGB) video and a depth information video of the hand; detecting the RGB video and the depth information video of the hand, to obtain a feature point; representing the feature point by using a 3D Mesh motion scale-invariant feature transform (MoSIFT) feature descriptor; and comparing the 3D Mesh MoSIFT feature descriptor of the feature point with a 3D Mesh MoSIFT feature descriptor in a positive sample obtained through beforehand training, to obtain a hand motion category in the to-be-identified video.

Hand motion identification method and apparatus

Growing community of inventors

Shenzhen, China

Tingting Liu